import matplotlib.pyplot as plt
import numpy as np
plt.rcParams['axes.unicode_minus']=False
dim_num=6
data=np.array([[0.50,0.32,0.35,0.30,0.30,0.88],
[0.45,0.35,0.30,0.40,0.40,0.30],
[0.43,0.99,0.30,0.28,0.22,0.30],
[0.30,0.25,0.48,0.95,0.45,0.40],
[0.20,0.38,0.87,0.45,0.32,0.28],
[0.34,0.31,0.38,0.40,0.92,0.28]])
angles=np.linspace(0, 2 * np.pi, dim_num, endpoint=False)
angles=np.concatenate((angles,[angles[0]]))
data=np.concatenate((data,[data[0]]))
radar_labels=['Research type(I)','Artistic(A)','Social type(S)','enterprise class(E)','Traditional©','Realistic®']
radar_labels=np.concatenate((radar_labels, [radar_labels[0]]))
plt.polar(angles, data)
plt.thetagrids(angles * 180/np.pi, labels=radar_labels)
plt.fill(angles, data, alpha=0.25)
plt.title('hello')
plt.show()